I’m an incoming Assistant Professor in Computer Science and Engineering (CSE) and the Graduate School of Artificial Intelligence (GSAI) at POSTECH, starting July 16, 2025.

As an human-computer interaction (HCI), computer-supported cooperative work (CSCW), and Health researcher, I examine how health monitoring technology can better account for infrastructural complexity of clinical and public health care. My research approach encompasses understanding how stakeholders use existing health monitoring tools through interviews, surveys, and log analysis; developing prototypes to explore novel design ideas; and evaluating these designs through real-world field deployments.
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To date, I have published 13 full papers—9 as first author—at top-tier HCI venues, such as CHI and CSCW. My work has been recognized with a Best Paper Award at CHI 2023, the Gold Medal in the Student Research Competition at ASSETS 2017, and the Google PhD Fellowship (2023-2025). 

I received my PhD in Informatics at University of California, Irvine (Advised by Daniel A. Epstein). I completed a MS in Computer Graphics Technology (Advised by Austin Toombs) at Purdue University, a BA in Information Science & Culture, ​and a BA in Consumer and Child Studies at Seoul National University.

I have worked as a research intern with Young-Ho Kim at NAVER AI Lab and a researcher at the National Center for Mental Health in South Korea with Hwajung Hong.  

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Selected Publications

Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring

Eunkyung Jo, Young-Ho Kim, Sang-Houn Ok, Daniel A. Epstein
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25) [DOI] [PDF]

Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication

Eunkyung Jo, Rachael Zehrung, Katherine E. Genuario, Alexandra Papoutsaki, Daniel A. Epstein
​Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2) [DOI] [PDF]

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language
​Model-Driven Chatbots for Public Health Intervention

Eunkyung Jo, Yuin Jeong, SoHyun Park, Daniel A. Epstein, Young-Ho Kim
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24) [DOI] [PDF]

Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews

Eunkyung Jo, Whitney-Jocelyn Kouaho, Stephen M. Schueller, Daniel A. Epstein
JMIR Mental Health, Vol 10, 2023 [DOI] [PDF]

Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention

Eunkyung Jo, Daniel A. Epstein, Hyunhoon Jung, Young-Ho Kim
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23) [DOI] [PDF]
Best Paper Award (Top 1%)

Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs 

Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A. Epstein
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22) [DOI] [PDF]

GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking  

Eunkyung Jo, Seora Park, Hyeonseok Bang, Youngeun Hong, Yeni Kim, Jungwon Choi, Bung Nyun Kim, 
​Daniel A. Epstein, Hwajung Hong
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), April 2022 [DOI] [PDF]

MAMAS: Supporting Parent-Child Mealtime Interactions Using Automated Tracking and Speech Recognition

Eunkyung Jo, Hyeonseok Bang, Myeonghan Ryu, Eun Jee Sung, Sungmook Leem, Hwajung Hong
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), May 2020 [DOI] [PDF]

Understanding Parenting Stress through Co-designed Self-Trackers 

Eunkyung Jo, Austin L. Toombs, Colin M. Gray, Hwajung Hong
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) [DOI] [PDF]

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